code: def get_decoder(
      config: DecoderConfig,
      inference_only: bool = False,
      dtype: Optional[pt.dtype] = None,
      clamp_to_dtype: bool = False,
  ) -> "Decoder":
      return Decoder.get_decoder(
          config=config,
          inference_only=inference_only,
          dtype=dtype,
          clamp_to_dtype=clamp_to_dtype,
      )
  
imports: import logging
  from abc import abstractmethod
  from itertools import islice
  from typing import Dict, List, Optional, Tuple, Type, Union
  import torch
  from .None import constants
  from .None import layers
  from .None import transformer
  from .transformer import TransformerConfig
label_desc: Use image node_id 1 for calling a global function with example usage: get_decoder(config, inference_only, dtype, clamp_to_dtype) and returns: Decoder